Vangaveti Nikhil
@vangavetinikhil
I build applied AI systems for analytics, computer vision, and intelligent automation.
What I'm looking for
At Tekskills Inc, I cleaned and analyzed real-world datasets, built interactive Power BI and Microsoft Fabric dashboards, and designed scalable PySpark and SQL ETL workflows for datasets exceeding one million rows.
I've built AI products including DietFit, a multi-agent diet and fitness advisor using LangGraph, Gemini, Groq, USDA FoodData Central, and Streamlit. I also created a RAG-powered GitHub Repository Analyzer that enables codebase Q&A, automated code review, git analytics, and multi-user deployment on Hugging Face Spaces.
My published project, Fix My Way, applies YOLOv8 and OpenCV to real-time pothole detection, achieving 85–88% detection accuracy. I presented the work at AITA 2025 and also led a four-person team building a real-time lane detection system.
Experience
Work history, roles, and key accomplishments
Artificial Intelligence Intern
Tekskills Inc
Oct 2025 - Dec 2025 (2 months)
Executed data cleaning, preprocessing, and exploratory data analysis on 5+ real-world datasets using Python and SQL. Created and deployed 3 interactive dashboards using Microsoft Fabric and Power BI, and implemented 10+ analytical metrics using DAX.
Education
Degrees, certifications, and relevant coursework
Vellore Institute of Technology
Integrated Master of Technology, Computer Science and Engineering (Artificial Intelligence)
2022 -
Grade: 7.92/10
Pursuing an Integrated M.Tech in Computer Science and Engineering with a specialization in Artificial Intelligence. Achieved a CGPA of 7.92/10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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